تصفح Electrical Engineering حسب المؤلف "n 2015231408"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Zaman K.S.; Reaz M.B.I.; Islam M.T.; Ezeddin M.; Kadir M.A.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other ... -
Optimal sizing and assessment of a renewable rich standalone hybrid microgrid considering conventional dispatch methodologies
Ishraque, M. F.; Shezan, S. A.; Rana, M. S.; Muyeen, S. M.; Rahman, A.; Paul, L. C.; Islam, M. S.... more authors ... less authors ( MDPI , 2021 , Article)This paper presents an evaluation of the optimized design of an off-grid hybrid microgrid for alternative load dispatch algorithms with the determination of the most optimal sizing of each equipment, analyzing the voltage ... -
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; Hossain M.S.; Kiranyaz, Mustafa Serkan; Malik J.; Monawwar H.; Kadir M.A.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ...